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digital models of sampled variables. Field sampling. Report writing. Demonstration sessions. Eligibility criteria Experience in GIS and Remote Sensing. Preference will be given to candidates with a Master's
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, surrogate modeling of scientific processes, workflow automation and adaptive simulation pipelines, and performance analysis and optimization. The candidate will also contribute to and help originate research
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development related to the above areas. Publications in first class journals and highly competitive conferences in areas relevant to the work, i.e. network modelling and protocol emulation in virtualised
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, quantitatively intensive research at CTED with a primary focus on artificial intelligence, machine learning, mathematical modeling, and computational analysis. The Junior Research Scientist will play a central
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Job Description Summary Broward College, South Campus is actively seeking diverse body types for in-person modeling, both clothed and unclothed, for life drawing. Models will need to hold a variety
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 2 months ago
to work in a large team alongside undergraduate and graduate students and project scientists. PREFERRED: Experience and fast-ion physics modeling & simulation, or, turbulence simulation and/or transport
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the framework of the project. Qualifications and Team : We seek a researcher with demonstrated experience in perturbative modeling of LSS (in particular biased tracers of dark matter), analysis of simulated
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energy integration Energy storage systems and grid flexibility solutions Power flow control and intelligent grid management Hardware-in-the-loop (HIL) simulation of power systems Power grid modelling
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through in vitro cell models. 2. Workplace The workplace is located at the Porto facilities of Universidade Católica Portuguesa. 3. Remuneration Gross monthly pay is 1402,88€, plus meal allowance, to which
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modelling and improving Earth System Modeling by better merging of measurement data and model simulations. This PhD project focuses on improving how we estimate key parameters in land-surface and ecosystem